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Insights on Molecular Heterogeneity in Endometriosis Treatment – HER Heard
HER Heard/LinkedIn
Jan 10, 2026, 06:09

Insights on Molecular Heterogeneity in Endometriosis Treatment – HER Heard

HER Heard shared a post by Femtech Insider on LinkedIn:

“Important breakthrough in our understanding of Endometriosis: ‘Endometriosis is currently classified based on symptoms and anatomical or surgical features, but these approaches don’t capture the biological programs active inside the tissue. Our work shows that what looks like unpredictable variability between patients actually reflects recurring cellular states that shape how the disease behaves and responds to treatment. This creates an opportunity to move toward more biologically informed patient stratification in research and clinical trials.'”

Quoting Femtech Insider’s post, adding:

“France-based biotech endogene.bio has published research suggesting that endometriosis is molecularly heterogeneous across patients, lesion sites, and cell types – a finding that could help explain why patients often experience different outcomes with the same therapy.

The preprint, titled ‘Beyond one-size-fits-all: single-cell transcriptomic signatures predict drug efficacy and reveal responder subgroups in endometriosis,’ combines single-cell RNA sequencing with a computational drug-response framework to identify distinct cellular response patterns that may predict which therapies are most likely to work for specific patient groups.

‘Endometriosis is currently classified based on symptoms and anatomical or surgical features, but these approaches don’t capture the biological programs active inside the tissue. Our work shows that what looks like unpredictable variability between patients actually reflects recurring cellular states that shape how the disease behaves and responds to treatment. This creates an opportunity to move toward more biologically informed patient stratification in research and clinical trials.’ Cristina Fernández Molina, Co-founder and Head of Science at endogene.bio

Full story.”

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